Overview
- Nominated as an outstanding Ph.D. thesis by the University of Cambridge
- Provides a comprehensive, up-to-date database of quantitative composite degradation data mined from existing literature
- Includes a detailed description of a mathematical modelling framework for the degradation of bioresorbable composites and the analysis of 107 different composite case studies
- Provides new insights into the interwoven factors controlling degradation
Part of the book series: Springer Theses (Springer Theses)
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Table of contents (8 chapters)
Keywords
About this book
This book presents a generalised computational model for the degradation of resorbable composites, using analytic expressions to represent the interwoven phenomena present during degradation. It then combines this modelling framework with a comprehensive database of quantitative degradation data mined from existing literature and from novel experiments, to provide new insights into the interrelated factors controlling degradation.
Resorbable composites made of biodegradable polyesters and calcium-based ceramics have significant therapeutic potential as tissue engineering scaffolds, as temporary implants and as drug-loaded matrices for controlled release. However, their degradation is complex and the rate of resorption depends on multiple connected factors such as the shape and size of the device, polymer chemistry and molecular weight, particle phase, size, volume fraction, distribution and pH-dependent dissolution properties. Understanding and ultimately predicting the degradation of resorbable composites is of central importance if we are to fully unlock the promise of these materials.
Authors and Affiliations
Bibliographic Information
Book Title: A Phenomenological Mathematical Modelling Framework for the Degradation of Bioresorbable Composites
Authors: Ismael Moreno-Gomez
Series Title: Springer Theses
DOI: https://doi.org/10.1007/978-3-030-04990-4
Publisher: Springer Cham
eBook Packages: Chemistry and Materials Science, Chemistry and Material Science (R0)
Copyright Information: Springer Nature Switzerland AG 2019
Hardcover ISBN: 978-3-030-04989-8Published: 16 April 2019
eBook ISBN: 978-3-030-04990-4Published: 05 April 2019
Series ISSN: 2190-5053
Series E-ISSN: 2190-5061
Edition Number: 1
Number of Pages: XLIII, 325
Number of Illustrations: 121 b/w illustrations, 262 illustrations in colour
Topics: Biomaterials, Numerical and Computational Physics, Simulation, Characterization and Evaluation of Materials